Functions for spatial point pattern analysis

Documentation for package `ecespa' version 1.0-2

dixon2002	Dixon (2002) Nearest-neighbor contingency table analysis
ecespa	Functions for spatial point pattern analysis
fig1	Artificial point data.
fig2	Artificial point data.
fig3	Artificial point data.
getis	Neighbourhood density function
gypsophylous	Spatial point pattern of a plant community
haz.ppp	Easily convert xy data to ppp format
Helianthemum	Spatial point pattern of Helianthemum squamatum adult plants and seedlings
K012	Tests association/repulsion between a fixed point pattern and one (or two) "variable" point patterns
K1K2	Differences between univariate and bivariate K-functions
Kclust	Fit the Poisson Cluster Point Process by Minimum Contrast
Kmm	Mark-weighted K-function
Kmulti.uf	Upton's and Fingleton's combined estimator of the marked K-function
marksum	Mark-sum measure
p2colasr	P-value for a discrete distribution on small sample data
pc.estK	Fit the Poisson Cluster Point Process by Minimum Contrast
seedlings	Cohorts of Helianthemum squamatum seedlings
seedlings1	Cohorts of Helianthemum squamatum seedlings
seedlings2	Cohorts of Helianthemum squamatum seedlings
sim.poissonc	Simulate Poisson Cluster Process
swamp	Tree Species in a Swamp Forest